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Divya Bairavarasu
Divya Bairavarasu

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Build AI-Powered Projects with Safe Agent

#ai #local #llm #privacy

Local, private AI development for the Gemma 4 Challenge—no cloud dependency, no telemetry, pure control.

The Gemma 4 Challenge on Dev.to is live: build innovative projects or write about Google's latest open models and compete for $3,000 across two tracks. The catch? Integrating a state-of-the-art model without sacrificing privacy, speed, or control.

Safe Agent solves that. It's a local-first AI coding assistant built for exactly this.

What's Safe Agent?

Safe Agent runs entirely on your machine—no API calls, no data leaving your laptop. It supports Ollama and LM Studio out of the box, making Gemma 4 a first-class citizen. You get a CLI, a VS Code extension (available on the VS Code Marketplace), and a local HTTP service—all with zero telemetry.

Get Running in 3 Steps

Install:

# macOS
brew tap divyabairavarasu/tap && brew install safeagent

# Linux / macOS (curl)
curl -fsSL https://raw.githubusercontent.com/divyabairavarasu/homebrew-tap/master/install.sh | sh

# Windows (PowerShell)
irm https://raw.githubusercontent.com/divyabairavarasu/homebrew-tap/master/install.ps1 | iex

# VS Code: search "Safe Agent" in the Extensions panel
code --install-extension divyabairavarasu.safe-agent
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Pull Gemma 4:

ollama pull gemma2:27b   # or gemma2:7b for lighter workloads
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Start coding:

safeagent                              # interactive shell
safeagent --model ollama/gemma2:27b   # explicit model
safeagent --model lmstudio/gemma-4-instruct
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Built-in Git Workflow

Safe Agent understands your repo. Generate code, review diffs, and commit—without breaking focus:

# Ask Safe Agent to implement a feature
safeagent "add a --output-format json flag to the report command"

# Review, stage, and commit
git diff                  # see what changed
git add -p                # stage selectively
git commit -m "feat: add --output-format json flag"

# Let Safe Agent draft the commit message
safeagent "write a conventional commit message for my staged changes"
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Why It Works for the Challenge

  • No infrastructure — Gemma 4 runs on your laptop. No cloud GPUs, no quotas, no latency.
  • Swap models freely — Switch between 7B and 27B mid-project. No code changes.
  • Privacy by default — Every inference stays local. Ideal for healthcare, finance, or any sensitive data use case.
  • Reproducible — Same setup runs anywhere. Judges can verify your stack.

Submission Ideas

Build track: Local code analyzer, privacy-first chat interface, AI-assisted developer CLI tool.

Write track: "Deploying Gemma 4 locally for production", "Privacy-first AI development", a case study with Safe Agent + Gemma 4 metrics.

Safe Agent is open-source, the VS Code Marketplace, and via Homebrew. Deadline: May 24, 2026. Build something great. 🚀

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